CN210583316U - Sleep-assisting system and sleep-assisting lamp thereof - Google Patents
Sleep-assisting system and sleep-assisting lamp thereof Download PDFInfo
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- CN210583316U CN210583316U CN201920578955.3U CN201920578955U CN210583316U CN 210583316 U CN210583316 U CN 210583316U CN 201920578955 U CN201920578955 U CN 201920578955U CN 210583316 U CN210583316 U CN 210583316U
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Abstract
The application provides a help dormancy system and help dormancy lamp thereof, help dormancy system is including helping dormancy lamp and an at least sensor, the sensor is used for wearing in user's foot in order to detect user's real-time sign signal, help the dormancy lamp including communication module, treater and controlled lamp body, communication module be used for with the sensor is connected, in order to acquire the user's that the sensor detected real-time sign signal, the treater with communication module is connected, controlled lamp body with the treater is connected for provide the mode of helping dormancy of light that spectral wavelength is 550 nanometer-680 nanometer. In this way, the secretion of human melatonin can be stimulated in the application, the sleep quality of a human body is facilitated, moreover, the state of a user can be judged according to the sign signals of the user, the light-emitting mode of the sleep-assisting lamp is controlled, and therefore the effects of energy conservation and environmental protection are achieved.
Description
Technical Field
The application relates to the technical field of light control, in particular to a sleep-assisting system and a sleep-assisting lamp.
Background
In the prior art, a night lamp is an indispensable part for many families, especially a room with children and old people, and a night lamp is generally prepared in the room in order to ensure the safety of the children and the old people when they get up at night. At present, night lamp products on the market are diversified, and there are common bright products and intelligent products supporting voice control and human body induction.
Wherein, the normally-on night lamp can continuously generate light to interfere sleep; the sound-control product needs larger sound to wake up the light and has the possibility of noise wake-up; the human body induction type product needs a person to appear at a specific position to wake up light, and certain potential safety hazards exist.
In addition, in order to promote sleep, the night-light that helps sleep takes place in due charge, thereby the little night-light of champignon makes essential oil volatilize after passing through the heating of bulb heat and plays the champignon effect, has the peculiar smell of elimination, and air-purifying alleviates thereby has the effect of helping sleep to the people, but essential oil volatilizees the back, only can add again, and troublesome poeration is not suitable for to the sensitive crowd of smell, has reduced the life-span of lamp moreover, also can not be according to the switch of people's sleep state adjustment lamp, and is not energy-conserving.
In addition, the music sleep-assisting small night lamp and the slow music sleep-assisting small night lamp are simple to operate compared with the former music, but are not suitable for people with sensitive sound during sleeping, the switch of the lamp cannot be adjusted according to the sleeping state of the people, and energy is not saved.
Aiming at the defects in various aspects of the prior art, the inventor of the application provides a sleep-assisting system and a sleep-assisting lamp thereof through deep research.
SUMMERY OF THE UTILITY MODEL
An object of the application lies in that a sleep aiding system and sleep aiding lamp thereof are provided, intelligent control can be carried out on light according to the state of a user, the sleep of the user can be promoted, and the sleep quality is improved.
In order to solve the above technical problem, the present application provides a sleep-assisting system, as one of them implementation mode, sleep-assisting system is including helping the dormancy lamp and an at least sensor, the sensor is used for wearing in user's foot in order to detect user's real-time sign signal, help the dormancy lamp to include:
the communication module is used for being connected with the sensor to acquire real-time physical sign signals of the user detected by the sensor;
the processor is connected with the communication module;
and the controlled lamp body is connected with the processor and is used for providing a sleep-assisting mode of light with the spectral wavelength of 550-680 nanometers.
As one embodiment, the controlled lamp body is an LED lamp and the corresponding sleep-aid mode has a spectral wavelength of 580 nm to 660 nm to stimulate melatonin secretion.
As one of the embodiments:
the controlled lamp body is adjustable in brightness degree, and the brightness degree comprises light turning on, light turning off and linearly adjusted brightness.
As one embodiment, the sensor is a three-axis acceleration sensor, and the real-time sign signal is a foot motion signal of the user.
As one embodiment, the processor is configured to read, from the communication module, a real-time sign signal of the user detected by the triaxial acceleration sensor through an IIC serial port.
As one of the embodiments, the sensor is a photoplethysmography (PPG) sensor, and the real-time sign signals are various signals of pulse, heart rate and blood oxygen of the user.
As one embodiment, the processor is configured to read, from the communication module, a real-time sign signal of the user detected by the PPG sensor by means of an IIC serial port.
As one implementation manner, the network of the communication module is a bluetooth network, a WIFI network, a 3G communication network, a 4G communication network, a 5G communication network, a Zigbee network, or an intelligent home internet of things network.
As one of the embodiments, the sensor is integrated on a wearable device, which is plural and wearable at a foot, hand or head position.
In order to solve the above technical problem, the present application further provides a sleep-assisting lamp, which is applied to the sleep-assisting system as one embodiment.
The application provides a help dormancy system and help dormancy lamp thereof, help dormancy system is including helping dormancy lamp and an at least sensor, the sensor is used for wearing in user's foot in order to detect user's real-time sign signal, help the dormancy lamp including communication module, treater and controlled lamp body, communication module be used for with the sensor is connected, in order to acquire the user's that the sensor detected real-time sign signal, the treater with communication module is connected, controlled lamp body with the treater is connected for provide the mode of helping dormancy of the light of spectral wavelength for 550 nanometer-680 nanometer. Through the mode, the light with the spectral wavelength of 550-680 nanometers can be used for stimulating the secretion of human melatonin, so that the sleep quality of a human body is facilitated, the state of a user can be judged according to physical sign signals of the user, different control signals are generated, the light emitting mode of the sleep-aiding lamp is controlled, and the effects of energy conservation and environmental protection are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical means of the present application more clearly understood, the present application may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present application more clearly understood, the following preferred embodiments are described in detail with reference to the accompanying drawings.
Drawings
Fig. 1 is a functional block diagram of an embodiment of a sleep-aiding system according to the present application.
Fig. 2 is a schematic flow chart illustrating an embodiment of a sleep-aid lamp sleep-promoting method according to the present application.
Detailed Description
To further clarify the technical measures and effects adopted by the present application to achieve the intended purpose, the following detailed description is given, with reference to the accompanying drawings and preferred embodiments, of specific embodiments, methods, steps, features and effects of the sleep-aiding lamp according to the present application.
The foregoing and other technical matters, features and effects of the present application will be apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings. While the present application has been described in terms of specific embodiments and examples for achieving the desired objects and objectives, it is to be understood that the invention is not limited to the disclosed embodiments, but is to be accorded the widest scope consistent with the principles and novel features as defined by the appended claims.
Referring to fig. 1, fig. 1 is a functional block diagram of an embodiment of a sleep-aiding system according to the present application.
As shown in fig. 1, the present application provides a sleep-aiding system, which includes a sleep-aiding lamp and at least one sensor, wherein the sensor is used for wearing on the foot of a user to detect the real-time sign signal of the user, and the sleep-aiding lamp includes a communication module 11, a processor 12 and a controlled lamp body 13.
The communication module 11 is configured to be connected to the sensor to obtain a real-time physical sign signal of the user detected by the sensor, the processor 12 is connected to the communication module 11, and the controlled lamp 13 is connected to the processor 12 and configured to provide a sleep-aiding mode with a light having a spectral wavelength of 550 nm to 680 nm.
In the present embodiment, the controlled lamp body 13 is an LED lamp, and the spectrum wavelength of the sleep-aiding mode is 580 nm to 660 nm to stimulate the secretion of melatonin. The light of this embodiment may be orange.
The brightness of the controlled lamp body 13 is adjustable, and the brightness includes turning on light, turning off light, and linearly adjusting brightness.
In the present embodiment, the sensor is a three-axis acceleration sensor, such as a gyroscope, and the real-time physical sign signal is a foot motion signal of the user.
It should be noted that, in this embodiment, the processor 12 is configured to read the real-time physical sign signals of the user detected by the three-axis acceleration sensor from the communication module 11 through an IIC (integrated circuit bus) serial port.
In addition, the sensor in this embodiment may also be a photoplethysmography (PPG) sensor (a photoplethysmography sensor or an optical heart rate sensor), and correspondingly, the real-time sign signals are various signals of pulse, heart rate, and blood oxygen of the user.
It should be noted that, for high heart rate and respiratory rate, the probability of the arousal period and the rapid eye movement period may be assigned by using the evidence theory proposed by Dempster in 1967, and the probability of the non-rapid eye movement period is small.
Aiming at low heart rate and respiratory rate, the embodiment can utilize big data acquisition and evidence theory to assign a high probability of a non-rapid eye movement period and a low probability of a wake period and a rapid eye movement period.
Aiming at high body movement signals and blood oxygen saturation, the probability of the arousal period can be assigned by an evidence theory, and the probability of the rapid eye movement period and the non-rapid eye movement period is small.
Aiming at low body movement signals and blood oxygen saturation, the probability of a rapid eye movement period and a non-rapid eye movement period can be assigned by an evidence theory, and the probability of an awakening period is small.
As mentioned above, the processor 12 in this embodiment is configured to read the real-time physical sign signals of the user detected by the PPG sensor from the communication module 11 by the IIC serial port method.
It is easy to understand that the network of the communication module 11 in this embodiment is a bluetooth network, a WIFI network, a 3G communication network, a 4G communication network, a 5G communication network, a Zigbee network, and an intelligent home internet of things network.
It is noted that the sensor of the present embodiment is integrated on a wearable device, and the wearable device may be multiple and wearable at a foot, hand or head position, for example, it may be similar to a wrist watch in appearance for wearing.
Further, the present application also provides a sleep-aid lamp applied to the sleep-aid system, for example, please continue to refer to fig. 1, as shown in fig. 1, the sleep-aid lamp includes a communication module 11, a processor 12 and a controlled lamp body 13.
It should be noted that, in this embodiment, the communication module 11 is configured to be connected to the sensor to obtain a real-time sign signal of the user detected by the sensor.
The communication module 11 may be a bluetooth module, a WIFI module, a near field communication module 11, a 3G communication network, a 4G communication network, a 5G communication network, or a Zigbee network.
Correspondingly, the processor 12 in this embodiment is connected to the communication module 11, and configured to acquire the real-time physical sign signal, determine whether the user is in a sleep state according to the real-time physical sign signal, and generate a control signal when it is determined that the user is not in the sleep state.
The connection between the processor 12 and the communication module 11 may be a wireless connection, a wired connection, or the like.
In addition, the controlled lamp body 13 of the present embodiment is connected to the processor 12, and is configured to obtain the control signal generated by the processor 12, so as to adjust the spectral wavelength of the light of the controlled lamp body to the sleep-assisting mode of 550 nm to 680 nm according to the control signal.
In the present embodiment, the spectral wavelength may be 580 nm, 600 nm, 620 nm, or the like.
It should be noted that the controlled lamp body 13 in this embodiment is an LED lamp and the spectrum wavelength of the sleep-aiding mode is 580 nm to 660 nm, so as to emit an orange light to stimulate the secretion of melatonin.
The LED light source of the LED lamp of the present embodiment may emit orange light by RGB color modulation.
In particular, in this embodiment, the processor 12 is further configured to identify a sleep depth of the user according to the real-time sign signal, and generate a brightness adjustment signal corresponding to a real-time level of the sleep depth of the user when the real-time level is identified.
Correspondingly, the controlled lamp body 13 of the present embodiment is configured to adjust the brightness of its own light according to the brightness adjustment signal, where the brightness includes turning on the light, turning off the light, and linearly adjusting the brightness.
In other embodiments, stepwise adjustment of the brightness may also be used.
For example, the sleep-assisting mode of the present embodiment for adjusting the light intensity of the user according to the sleep state of the user may specifically be: the brightness of the light is 100% in the awake state, 50% in the rapid eye movement state, 25% in the light sleep state, and 0% in the deep sleep state. It should be noted that, in the present embodiment, only the brightness needs to be adjusted, and the wavelength may not be adjusted.
In this embodiment, the processor 12 is further configured to read, in an IIC serial port manner, a real-time physical sign signal of the user detected by the triaxial acceleration sensor from the communication module 11, and perform denoising processing by using a kalman filter algorithm, where the real-time physical sign signal is a foot action signal of the user.
It is easy to understand that the acquired foot action signals corresponding to the acquired foot action information can reflect the sleep characteristics of the human body better.
It should be noted that, in this embodiment, the processor 12 is further configured to read, from the communication module 11, a real-time physical sign signal of the user detected by the PPG sensor through an IIC serial port, where the real-time physical sign signal is a variety of signals of pulse, heart rate, and blood oxygen of the user.
Further, in this embodiment, the processor 12 is further configured to pre-process an ADC sampling value corresponding to a real-time sign signal detected by the PPG sensor, so as to remove high-frequency noise, baseline drift, and/or motion artifacts.
For example, the processor 12 may be configured to remove high-frequency noise by performing a filtering process with a finite impulse response FIR filter; the manner in which the processor 12 removes the baseline wander includes filtering out the baseline wander of the ADC samples with a median filter; the manner in which the processor 12 removes motion artifacts includes removing motion artifacts from ADC samples by a normalized least mean square adaptive filter NLMS.
It should be noted that, in the present embodiment, the method for removing the high-frequency noise by the processor 12 includes performing filtering processing by a finite impulse response FIR filter, and the calculation processing formula adopted includes:
wherein, in formula 1, y (n) is the output signal, x (n-i) is the input signal corresponding to the ADC sampling value, biN is the FIR filter order, which is the weighting coefficient.
It should be noted that, in this embodiment, the method for removing motion artifacts by the processor 12 includes removing motion artifacts of ADC sampling values by the normalized least mean square adaptive filter NLMS, and the update processing formula adopted to update the weight vector coefficients according to the reference signal includes:
e(n)＝d(n)-wT(n) x (n) -formula 3
In equations 2 and 3, the input signal is an ADC sampling value corresponding to a real-time sign signal detected by the PPG sensor, x (n) is a reference signal taken as the real-time sign signal of the user detected by the three-axis accelerometer, d (n) is an expected signal, and w (n) is a weight coefficient.
In addition, in this embodiment, the processor 12 is further configured to calculate blood oxygen concentration according to the blood oxygen signal value in the detected real-time physical sign signal after preprocessing the ADC sampling value corresponding to the real-time physical sign signal detected by the PPG sensor, and includes: extracting AC components of red light and infrared light signals of a user by a difference method; processing the acquired blood oxygen signal value through a low-pass filter, and calculating an average value of sampling values in a preset time period to obtain a DC component; meanwhile, the processor 12 is further configured to extract a heart rate from the preprocessed ADC sample value by using a mean-crossing method; and the processor 12 is further configured to perform fast fourier transform on the preprocessed ADC sampling values to obtain the respiration rate.
For example, the processor 12 is configured to calculate blood oxygen concentration according to the blood oxygen signal value in the detected real-time physical sign signal, and the calculation formula adopted by the processor includes:
SpO2(%) - (%) a-b × R (%) - -, formula 4
Wherein in formula 4, SpO2(%) is the concentration of blood oxygen,
a. b is a coefficient determined by system calibration, ACredAC component, DC, for red lightredDC component, AC, for red lightirIs AC component and DC of infrared light signalirIs the DC component of the infrared light signal.
In addition, the processor 12 according to this embodiment is configured to extract a heart rate from the preprocessed ADC sample value by using a mean-crossing point method, and specifically includes: and processing to obtain the mean value of the ADC sampling values corresponding to the real-time sign signals detected by the PPG sensor, taking the mean value as a mean value line, processing to obtain the number of intersection points of the ADC sampling values and the mean value line on the rising edge, and obtaining the heart rate cycle and the heart rate according to the number of the intersection points.
It should be noted that, the present embodiment may also perform personalized setting for the user, for example, obtain the sleep habit of the user, perform computational network training according to the sleep habit of the user, and generate the light control policy corresponding to the sleep habit of the user.
The present application will be described with reference to specific embodiments.
The sensor of the wearable device worn on the user body of the embodiment wirelessly transmits the detected real-time sign signals to the processor 12 (main body control panel) of the sleep-assisting lamp through the bluetooth module.
The real-time sign signals have different modes in different sleep stages of the human body. In the rapid eye movement period, the heart rate and the expiration are rapid, the respiratory rate is not stable, and the respiratory wave variability is large. And in the N non-rapid eye movement period, the heart rate and the respiratory rate become slow, and the heart rate and the respiratory rate are lowest and stable in the deep sleep period. So that the heart rate and the respiratory rate are at the peak in the wake phase and the rapid eye movement phase, and at the trough in the non-rapid eye movement phase. The blood oxygen saturation has value in the sleep stage of an apnea patient, the blood oxygen value is high and stable in the wake period, the blood oxygen value is reduced when the apnea occurs, and the blood oxygen value reduction caused by the apnea is more serious in the rapid eye movement period. Therefore, the real-time sign signals acquired by the triaxial acceleration sensor have large physical movement amplitude and more times in the wake-up period, and rarely turn over in the sleep period, and the local part usually has movement, usually expressed as short time, low amplitude and less times.
The processor 12 integrates the blood oxygen concentration, the heart rate, the respiration rate and the number of times of physical activity to judge the sleep state of the human body. For example, an arousal period or a rapid eye movement period and a non-rapid eye movement period are determined according to the heart rate and the breathing rate, then the rapid eye movement period and the arousal period are further distinguished according to the blood oxygen concentration and the number of body movements, and finally the light sleep period and the deep sleep period are distinguished according to the heart rate, the breathing rate and the number of body movements in the non-rapid eye movement period.
The light of the sleep-assisting lamp is continuously dimmed from the rapid eye movement period, the light sleep period to the deep sleep period along with the sleep state of the human body until the sleep-assisting lamp is turned off, and the sleep-assisting lamp is automatically turned on when the human body is detected to be in the wakefulness state.
By the mode, the light with the spectral wavelength of 550-680 nanometers can be used for stimulating the secretion of human melatonin, so that the sleep quality of a human body is facilitated, the state of a user can be judged according to physical sign signals of the user, different control signals are generated, the light emitting mode of the sleep-aiding lamp is controlled, the user experience is improved, and the sleep quality of the user is improved.
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating an embodiment of a sleep-aid lamp sleep-promoting method according to the present application.
As shown in fig. 2, the sleep-aid lamp sleep-promoting method of the present embodiment includes, but is not limited to, the following steps.
Step S201, acquiring a real-time sign signal of a user detected by a sensor;
step S202, judging whether the user is in a sleep state according to the real-time sign signal, and generating a control signal when the user is not in the sleep state;
step S203, the controlled lamp body obtains the control signal to adjust the spectral wavelength of the light of the controlled lamp body to the sleep-aiding mode of 550-680 nanometers according to the control signal.
In this embodiment, the controlled lamp body is an LED lamp and the spectrum wavelength of the sleep-aiding mode is 580 nm to 660 nm, so as to emit orange light to stimulate the secretion of melatonin.
It should be noted that, in this embodiment, the sleep depth of the user may also be identified according to the real-time sign signal, and when the real-time level of the sleep depth of the user is identified, a brightness adjustment signal corresponding to the real-time level is generated; and adjusting the brightness of the light according to the brightness adjusting signal, wherein the brightness comprises the brightness of starting light, closing light and linearly adjusting.
It should be noted that, in this embodiment, a real-time physical sign signal of the user detected by the three-axis acceleration sensor may be read from the communication module in an IIC serial port manner, and is subjected to denoising processing by a kalman filter algorithm, where the real-time physical sign signal is a foot action signal of the user.
In addition, this embodiment can follow through IIC serial ports mode the real-time sign signal of user that the communication module detected via the PPG sensor is read, wherein, real-time sign signal is the various signals of user's pulse, heart rate and blood oxygen.
Further, the present embodiment may perform preprocessing on an ADC sampling value corresponding to a real-time sign signal detected by the PPG sensor to remove high-frequency noise, baseline drift, and/or motion artifacts.
For example, the way of removing the high-frequency noise in the embodiment includes filtering by a finite impulse response FIR filter, and the way of removing the baseline wander includes filtering the baseline wander of the ADC sampling value by a median filter; and the mode of removing the motion artifact comprises removing the motion artifact of the ADC sampling value through a normalized least mean square adaptive filter NLMS.
It should be mentioned that, the blood oxygen concentration may also be calculated according to the blood oxygen signal value in the detected real-time physical sign signal in the embodiment, including: extracting AC components of red light and infrared light signals of a user by a difference method; processing the acquired blood oxygen signal value through a low-pass filter, and calculating an average value of sampling values in a preset time period to obtain a DC component; meanwhile, extracting the heart rate of the preprocessed ADC sampling value by adopting a mean intersection method; in addition, the preprocessed ADC sampling values are subjected to fast Fourier transform to obtain the respiration rate.
It should be noted that, other processing manners in this embodiment may refer to fig. 1 and the description related to the embodiment, and are not repeated within a range that is easily understood by those skilled in the art.
Although the present application has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the application, and all changes, substitutions and alterations that fall within the spirit and scope of the application are to be understood as being included within the following description of the preferred embodiment.
Claims (10)
1. A sleep-aiding system, comprising a sleep-aiding lamp and at least one sensor, wherein the sensor is used for wearing on the foot of a user to detect the real-time sign signal of the user, and the sleep-aiding lamp comprises:
the communication module is used for being connected with the sensor to acquire real-time physical sign signals of the user detected by the sensor;
the processor is connected with the communication module;
and the controlled lamp body is connected with the processor and is used for providing a sleep-assisting mode of light with the spectral wavelength of 550-680 nanometers.
2. A sleep-aid system according to claim 1, wherein the controlled light bodies are LED lights and the corresponding sleep-aid mode has a spectral wavelength of 580 nm-660 nm to stimulate melatonin secretion.
3. A sleep aid system according to claim 1, wherein:
the controlled lamp body is adjustable in brightness degree, and the brightness degree comprises light turning on, light turning off and linearly adjusted brightness.
4. A sleep aid system according to any one of claims 1 to 3, wherein the sensor is a three-axis acceleration sensor and the real-time vital sign signal is a foot motion signal of the user.
5. The sleep-aid system according to claim 4, wherein the processor is configured to read real-time sign signals of the user detected via the triaxial accelerometer from the communication module by means of an IIC serial port.
6. A sleep aid system according to any one of claims 1-3, wherein the sensor is a photoplethysmography, PPG, sensor and the real-time vital sign signals are a variety of signals of the user's pulse, heart rate and blood oxygen.
7. A sleep-aid system according to claim 6, wherein the processor is configured to read real-time sign signals of the user detected via the PPG sensor from the communication module by means of the IIC serial port.
8. The sleep-aid system according to claim 1, wherein the network of the communication module is a bluetooth network, a WIFI network, a 3G communication network, a 4G communication network, a 5G communication network, a Zigbee network, or a smart home internet of things network.
9. A sleep aid system according to claim 1, wherein the sensors are integrated on a wearable device, the wearable device being plural and wearable at a foot, hand or head location.
10. A sleep-aid lamp applied to the sleep-aid system according to any one of claims 1 to 9.
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| CN112022122A (en) * | 2020-09-29 | 2020-12-04 | 深圳职业技术学院 | Sleep monitoring earphone |
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| CN112022122A (en) * | 2020-09-29 | 2020-12-04 | 深圳职业技术学院 | Sleep monitoring earphone |
| CN112022122B (en) * | 2020-09-29 | 2023-01-17 | 深圳职业技术学院 | Sleep monitoring earphone |
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